AI for Database
Ask your database anything, in plain English - no SQL, ever
About AI for Database
AI for Database is aimed squarely at teams without a data team, where every question about the business becomes a request to whoever can write SQL and then waits behind that person's other work. The consequence is not just delay but silence: people stop asking the questions that would take a week to answer, and decisions get made on intuition instead. This tool lets anyone ask the live database directly in plain English, and crucially shows the SQL it generated, so the answer can be checked rather than trusted blindly.
Two design decisions make it defensible for production use. Access is read-only by default, so a natural-language interface cannot be talked into modifying or deleting anything, which is the obvious fear when connecting an LLM to a live database. And every answer exposes the generated SQL, along with the tables and row counts involved and the execution time, so a query returning a surprising number can be inspected rather than accepted. Connectivity covers PostgreSQL, MySQL, MongoDB, SQL Server and Google Sheets among others. Beyond one-off questions, the product generates dashboards, runs database workflows and sends alerts when data changes. The free tier is permanent, using free and open-source models.
Connect a database or spreadsheet, or start with the included sample data to evaluate it without connecting anything at all. Ask a question the way you would ask a colleague, and the answer comes back with the generated SQL attached along with the tables touched, the rows scanned and the time taken. Verify the query if the number matters, then pin the result to a dashboard so the same question answers itself from then on. Set alerts to fire when the underlying data changes rather than checking manually. Workflows chain these steps into repeatable processes, with the free tier allowing three and paid plans unlimited. Team invites use role-based access.
- •Plain English Querying - Ask questions in natural language against a live database with no SQL knowledge required
- •Generated SQL Shown - Every answer exposes its query, tables, row counts and execution time, so results can be verified rather than trusted
- •Read-Only by Default - The natural language layer cannot modify or delete data, which is the main risk of connecting an LLM to production
- •Broad Connectivity - PostgreSQL, MySQL, MongoDB, SQL Server and Google Sheets among other sources
- •One-Click Dashboards - Pin any answer to a dashboard so a recurring question stops being asked repeatedly
- •Alerts on Data Change - Get notified when the underlying data moves rather than polling a dashboard
- •Database Workflows - Chain steps into repeatable processes, capped at three on Free and unlimited on Pro
- •Free Tier With Open Models - Permanently free using free and open-source models, with premium models on Pro
For operations, sales and product teams at companies with a database and no analyst, where every question currently becomes a ticket. It suits founders who need to check a number without interrupting an engineer, and product managers tracking metrics that live in the application database rather than in an analytics tool. Analysts benefit too, since the generated SQL is a usable starting point rather than a black box. Teams handling sensitive data should note the read-only default and the self-hosted Enterprise option.
Pricing
$20 - $50/mo
- Pro$20/mo
- Team$50/mo
- EnterpriseContact sales
From the vendor pricing page, 2026-09-21
